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How to Build Machine Learning Algorithms that Actually Workby@liorgavish
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How to Build Machine Learning Algorithms that Actually Work

by Lior Gavish7mApril 19th, 2022
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However, discussing applications of machine learning in theory is much different than actually applying machine learning models at scale in production. In this article, we walk through common challenges and corresponding solutions to making machine learning a force multiplier for your data organization.  -Misalignment between actual business needs and machine learning objectives -Machine learning model training that doesn’t generalize -Machine learning testing and validation issues -Machine learning deployment and serving hurdles -Tactics for scalable machine learning in production

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Lior Gavish

Lior Gavish

@liorgavish

CTO and Co-founder, Monte Carlo. Programming wizard and lover of cats.

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Lior Gavish@liorgavish
CTO and Co-founder, Monte Carlo. Programming wizard and lover of cats.

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